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Combining Multilevel Features for Remote Sensing Image Scene Classification With Attention Model

https://doi.org/10.1109/lgrs.2019.2949253

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What this work says

Outgoing claims: the papers this work cites, builds on, or argues with.

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Deep Regression Tracking with Shrinkage Loss

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Hyperspectral image unsupervised classification by robust manifold matrix factorization

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Ensemble manifold regularized sparse low-rank approximation for multiview feature embedding

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Distinctive Image Features from Scale-Invariant Keypoints

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Beyond spatial pyramids: Receptive field learning for pooled image features

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Learning Deep Features for Discriminative Localization

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Squeeze-and-Excitation Networks

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See More, Know More: Unsupervised Video Object Segmentation With Co-Attention Siamese Networks

inferredcites →https://doi.org/10.1109/cvprw.2015.7301382openalex-snapshot

Do deep features generalize from everyday objects to remote sensing and aerial scenes domains?

inferredcites →https://doi.org/10.1109/jproc.2017.2675998openalex-snapshot

Remote Sensing Image Scene Classification: Benchmark and State of the Art

inferredcites →https://doi.org/10.1109/lgrs.2017.2731997openalex-snapshot

Remote Sensing Image Scene Classification Using Bag of Convolutional Features

inferredcites →https://doi.org/10.1109/lgrs.2017.2779469openalex-snapshot

Scene Classification Based on Two-Stage Deep Feature Fusion

inferredcites →https://doi.org/10.1109/tcyb.2016.2605044openalex-snapshot

Simultaneous Spectral-Spatial Feature Selection and Extraction for Hyperspectral Images

inferredcites →https://doi.org/10.1109/tgrs.2015.2496185openalex-snapshot

Dirichlet-Derived Multiple Topic Scene Classification Model for High Spatial Resolution Remote Sensing Imagery

inferredcites →https://doi.org/10.1109/tgrs.2016.2645703openalex-snapshot

Dimensionality Reduction and Classification of Hyperspectral Images Using Ensemble Discriminative Local Metric Learning

inferredcites →https://doi.org/10.1109/tgrs.2017.2685945openalex-snapshot

AID: A Benchmark Data Set for Performance Evaluation of Aerial Scene Classification

inferredcites →https://doi.org/10.1109/tgrs.2017.2700322openalex-snapshot

Deep Feature Fusion for VHR Remote Sensing Scene Classification

inferredcites →https://doi.org/10.1109/tgrs.2017.2711275openalex-snapshot

Integrating Multilayer Features of Convolutional Neural Networks for Remote Sensing Scene Classification

inferredcites →https://doi.org/10.1109/tgrs.2017.2783902openalex-snapshot

When Deep Learning Meets Metric Learning: Remote Sensing Image Scene Classification via Learning Discriminative CNNs

inferredcites →https://doi.org/10.1109/tgrs.2018.2845668openalex-snapshot

Remote Sensing Scene Classification Using Multilayer Stacked Covariance Pooling

inferredcites →https://doi.org/10.1109/tgrs.2018.2864987openalex-snapshot

Scene Classification With Recurrent Attention of VHR Remote Sensing Images

inferredcites →https://doi.org/10.1109/tip.2018.2836324openalex-snapshot

Multi-Task Learning for Blind Source Separation

inferredcites →https://doi.org/10.1109/tpami.2019.2913372openalex-snapshot

Squeeze-and-Excitation Networks

inferredcites →https://doi.org/10.1145/1869790.1869829openalex-snapshot

Bag-of-visual-words and spatial extensions for land-use classification

inferredcites →https://doi.org/10.1145/3065386openalex-snapshot

ImageNet classification with deep convolutional neural networks

inferredcites →https://doi.org/10.3390/rs10091415openalex-snapshot

Hyperspectral Target Detection via Adaptive Information—Theoretic Metric Learning with Local Constraints

inferredcites →https://doi.org/10.3390/rs71114680openalex-snapshot

Transferring Deep Convolutional Neural Networks for the Scene Classification of High-Resolution Remote Sensing Imagery

inferredcites →https://doi.org/10.48550/arxiv.1409.1556openalex-snapshot

Very Deep Convolutional Networks for Large-Scale Image Recognition

What points at this work

Incoming claims: where this work appears in other papers’ reference lists and arguments.

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Adaptive Sparse Learning Feature Selection for Scene Image Recognition

inferred← citeshttps://doi.org/10.1002/cpe.7733openalex-snapshot

Deep learning techniques for remote sensing image scene classification: A comprehensive review, current challenges, and future directions

inferred← citeshttps://doi.org/10.1007/s00521-024-10134-0openalex-snapshot

EGANet: Elevation-guided attention network for scene classification in panchromatic remote sensing images

inferred← citeshttps://doi.org/10.1007/s11227-024-06792-5openalex-snapshot

Semantic image representation for image recognition and retrieval using multilayer variational auto-encoder, InceptionNet and low-level image features

inferred← citeshttps://doi.org/10.1007/s12524-025-02316-7openalex-snapshot

Remote Sensing Image Scene Classification Using Level-Based Attention of Inter-Intra Convolutional Features with Label Smoothing Regularization

inferred← citeshttps://doi.org/10.1016/j.asoc.2024.112439openalex-snapshot

Feature selection through adaptive sparse learning for scene recognition

inferred← citeshttps://doi.org/10.1016/j.eswa.2022.117505openalex-snapshot

Embedding metric learning into an extreme learning machine for scene recognition

inferred← citeshttps://doi.org/10.1016/j.measurement.2023.112537openalex-snapshot

BiShuffleNeXt: A lightweight bi-path network for remote sensing scene classification

inferred← citeshttps://doi.org/10.1016/j.patcog.2022.108589openalex-snapshot

Class-specific discriminative metric learning for scene recognition

inferred← citeshttps://doi.org/10.1016/j.patcog.2026.113461openalex-snapshot

Differential attention vision transformer with adaptive spatial feature conditioning for remote sensing scene classification

inferred← citeshttps://doi.org/10.1080/19475683.2023.2165544openalex-snapshot

RS-DeepSuperLearner: fusion of CNN ensemble for remote sensing scene classification

inferred← citeshttps://doi.org/10.1109/access.2020.3042501openalex-snapshot

Remote Sensing Scene Classification Using Heterogeneous Feature Extraction and Multi-Level Fusion

inferred← citeshttps://doi.org/10.1109/access.2021.3051085openalex-snapshot

Classification of Remote Sensing Images Using EfficientNet-B3 CNN Model With Attention

inferred← citeshttps://doi.org/10.1109/access.2022.3188652openalex-snapshot

Focal Cosine Metric and Adaptive Attention Module for Remote Sensing Scene Classification With Siamese Convolutional Neural Networks

inferred← citeshttps://doi.org/10.1109/iceic64972.2025.10879691openalex-snapshot

Local Overlapping Attentional Selection with VIT for Image Classification in Remote Sensing

inferred← citeshttps://doi.org/10.1109/ijcnn64981.2025.11227802openalex-snapshot

Dual-Stream Global-Local Feature Collaborative Representation Network for Scene Classification of Mining Area

inferred← citeshttps://doi.org/10.1109/jstars.2020.2988477openalex-snapshot

Classification of High-Spatial-Resolution Remote Sensing Scenes Method Using Transfer Learning and Deep Convolutional Neural Network

inferred← citeshttps://doi.org/10.1109/jstars.2022.3229729openalex-snapshot

Attention-Aware Deep Feature Embedding for Remote Sensing Image Scene Classification

inferred← citeshttps://doi.org/10.1109/jstars.2023.3298492openalex-snapshot

HDTFF-Net: Hierarchical Deep Texture Features Fusion Network for High-Resolution Remote Sensing Scene Classification

inferred← citeshttps://doi.org/10.1109/jstars.2025.3639670openalex-snapshot

AF 2 -MSA Net: Attention-Fusion Focused Multiscale Architecture Network for Remote Sensing Scene Classification

inferred← citeshttps://doi.org/10.1109/lgrs.2020.2988934openalex-snapshot

Classification of Remotely Sensed Images Using an Ensemble of Improved Convolutional Network

inferred← citeshttps://doi.org/10.1109/lgrs.2020.3026587openalex-snapshot

Remote Sensing Image Classification Based on a Cross-Attention Mechanism and Graph Convolution

inferred← citeshttps://doi.org/10.1109/lgrs.2021.3070016openalex-snapshot

Multilevel Feature Fusion Networks With Adaptive Channel Dimensionality Reduction for Remote Sensing Scene Classification

inferred← citeshttps://doi.org/10.1109/lgrs.2021.3088277openalex-snapshot

MINet: Multilevel Inheritance Network-Based Aerial Scene Classification

inferred← citeshttps://doi.org/10.1109/lgrs.2022.3185454openalex-snapshot

C²-CapsViT: Cross-Context and Cross-Scale Capsule Vision Transformers for Remote Sensing Image Scene Classification

inferred← citeshttps://doi.org/10.1109/lgrs.2023.3304645openalex-snapshot

Contextual Spatial-Channel Attention Network for Remote Sensing Scene Classification

inferred← citeshttps://doi.org/10.1109/tgrs.2020.3044655openalex-snapshot

Enhanced Feature Pyramid Network With Deep Semantic Embedding for Remote Sensing Scene Classification

inferred← citeshttps://doi.org/10.1109/tgrs.2021.3093914openalex-snapshot

Gated Recurrent Multiattention Network for VHR Remote Sensing Image Classification

inferred← citeshttps://doi.org/10.1109/tgrs.2022.3161433openalex-snapshot

Feature Balance for Fine-Grained Object Classification in Aerial Images

inferred← citeshttps://doi.org/10.1109/tgrs.2023.3262840openalex-snapshot

EMSCNet: Efficient Multisample Contrastive Network for Remote Sensing Image Scene Classification

inferred← citeshttps://doi.org/10.1109/tgrs.2023.3336471openalex-snapshot

CDLNet: Collaborative Dictionary Learning Network for Remote Sensing Image Scene Classification

inferred← citeshttps://doi.org/10.1109/tgrs.2024.3349638openalex-snapshot

Summator–Subtractor Network: Modeling Spatial and Channel Differences for Change Detection

inferred← citeshttps://doi.org/10.21203/rs.3.rs-3823437/v1openalex-snapshot

A Dense Residual Correlation Attention Multi-scale Network for Remote Sensing Scene Classification

inferred← citeshttps://doi.org/10.29207/resti.v8i3.5731openalex-snapshot

Remote Sensing Scene Classification using ConvNeXt-Tiny Model with Attention Mechanism and Label Smoothing

inferred← citeshttps://doi.org/10.3390/rs12244046openalex-snapshot

AMN: Attention Metric Network for One-Shot Remote Sensing Image Scene Classification

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An Attention-Guided Multilayer Feature Aggregation Network for Remote Sensing Image Scene Classification

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Decision-Level Fusion with a Pluginable Importance Factor Generator for Remote Sensing Image Scene Classification

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A Combination of Lie Group Machine Learning and Deep Learning for Remote Sensing Scene Classification Using Multi-Layer Heterogeneous Feature Extraction and Fusion

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Bidirectional Flow Decision Tree for Reliable Remote Sensing Image Scene Classification

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Scene Classification Based on Heterogeneous Features of Multi-Source Data

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Deep Learning for Remote Sensing Image Scene Classification: A Review and Meta-Analysis

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Federated Learning Approach for Remote Sensing Scene Classification

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Attention Mechanism-Combined LSTM for Grain Yield Prediction in China Using Multi-Source Satellite Imagery

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High Spatial Resolution Remote Sensing Scene Classification Method using Transfer Learning and Deep Convolutional Neural Network

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基于局部选择Vision Transformer的遥感场景分类算法

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